How Actnable AI Transformed CATI Interviews with AI Calling Agents

Customer expectations are evolving rapidly, and businesses can no longer afford to wait weeks for customer feedback. Traditional surveys often capture opinions long after an interaction has taken place, making it difficult to address issues while they are still relevant. For organisations focused on delivering exceptional customer experiences, the gap between collecting feedback and taking action has become a major challenge.

As a leading market research company, Actnable AI partnered with one of Kenya’s most recognised telecom providers to modernise customer experience (CX) measurement. By combining AI Calling Agents, CATI (Computer-Assisted Telephone Interviewing), and Generative AI for Data Analysis, the company transformed how customer feedback was collected, analysed, and converted into actionable insights.

The Challenge: Slow Customer Feedback Delayed Business Decisions

Like many large telecom providers, the organisation relied on traditional Voice of Customer (VoC) and Net Promoter Score (NPS) programmes to understand customer satisfaction.

Although effective in measuring customer sentiment, these programmes presented several operational challenges:

• Limited customer response rates.
• Slow data collection and processing.
• Multiple language barriers across diverse customer groups.
• Manual analysis that delayed reporting.
• Static dashboards with limited real-time visibility.

Another challenge was capturing feedback at the right moment. Customer experiences occur every day across different touchpoints, but traditional surveys only collect feedback at scheduled intervals. As a result, businesses often miss the opportunity to resolve issues before they affect customer loyalty.

The telecom provider wanted a faster, scalable solution that could deliver real-time insights without increasing operational complexity.

The Solution: CATI Interviews Powered by AI Calling Agents

Instead of expanding its conventional survey programme, the telecom provider implemented Actnable AI’s AI-powered CATI interview solution.

Whenever a customer completed an important interaction such as contacting customer support, completing a transaction, or using a telecom service an AI Calling Agent automatically initiated a follow-up conversation.

Unlike traditional IVR systems or scripted surveys, the AI agent conducted natural, conversational interviews.

The system was designed to:

• Communicate in the customer’s preferred language, and dynamically switch languages mid-conversation whenever a participant chose to respond in a different one. 
• Match local accents and conversational tone.
• Collect detailed customer feedback naturally.
• Capture responses immediately after customer interactions.

This language flexibility was central to the pilot’s success. Kenyan telecom customers move fluidly between English, Swahili, and other local languages, sometimes within the same conversation. Rather than locking a customer into a single language for the entire call, the AI Calling Agent recognised the participant’s language preference in real time and adapted accordingly, so customers could speak however felt most natural without being asked to repeat themselves or restart the interview.

Because interviews were triggered in real time and adapted to how each customer actually communicated, feedback remained accurate, relevant, and context-rich. 

This modern approach significantly improved both customer participation and data quality compared to traditional quantitative market research methods that rely heavily on scheduled surveys.

Reaching Customers Traditional Surveys Often Miss

One of the most valuable outcomes of the pilot was its ability to engage customer segments that are traditionally difficult to reach. Business customers and high-value enterprise clients rarely have time to complete lengthy questionnaires or email surveys.

AI Calling Agents solved this challenge by conducting short, well-timed conversations with multiple stakeholders across the same business account. Rather than relying on feedback from a single contact person, the telecom provider gained a broader understanding of the overall customer experience.

From Conversations to Actionable Insights in Just 48 Hours

Collecting customer feedback was only the first step. The real transformation occurred once conversations were processed through the Actnable One platform using its Chat with Data capability. Every customer interaction was automatically:

Transcribed

Audio recordings were converted into searchable text without manual transcription.

Analysed

Using Generative AI for Data Analysis, the platform identified recurring themes, customer sentiment, common concerns, and emerging trends across thousands of conversations.

Organised

Responses were automatically grouped into meaningful categories, allowing customer experience teams to prioritise issues more efficiently.

Delivered

Interactive dashboards and AI-generated summaries provided structured insights that enabled business teams to make informed decisions quickly.

The complete workflow from recorded customer conversation to actionable business insight was completed within 48 hours.

For a Voice of Customer programme that traditionally required several weeks, this represented a significant improvement in operational efficiency.

A Modern Qualitative Research Platform for Customer Experience

This project also demonstrated the value of an integrated qualitative research platform. Rather than relying on disconnected systems for interviewing, transcription, and reporting, the telecom provider used a single AI-powered workflow to manage the entire customer feedback process.

The platform streamlined:

• CATI interviews
• AI Calling Agents
• Automated transcription
• Theme identification
• Sentiment analysis
• Insight generation

This allowed customer experience teams to spend more time interpreting findings and less time processing data manually.

Why This Case Study Matters

Across Africa, businesses are increasingly looking for faster and more intelligent ways to understand their customers.

Many AI companies in Kenya are driving innovation in customer intelligence, but this case study highlights how AI can deliver measurable business value when combined with proven research methodologies. By reducing the time between customer interaction and business response, organisations can:

• Improve customer satisfaction.
• Increase customer retention.
• Resolve service issues more quickly.
• Support data-driven decision-making.
• Continuously optimise customer journeys.

The Future of AI-Powered Customer Research

Customer experience is no longer measured through occasional surveys alone. Businesses now require continuous feedback, faster analysis, and real-time insights to remain competitive. As a trusted market research company, Actnable AI is helping organisations modernise both qualitative and market research quantitative methodologies through intelligent automation, conversational AI, and advanced analytics.

This pilot demonstrates how AI Calling Agents, CATI interviews, and Generative AI for Data Analysis can significantly reduce the time between collecting customer feedback and taking meaningful business action. For organisations seeking a scalable, AI-powered qualitative research platform, this approach represents the future of customer experience research across Africa.